Colors by Carl Reynolds
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An Evaluation of Color Differences Across Different Devices Craitishia Lewis Clemson University, [email protected]
Clemson University TigerPrints All Theses Theses 12-2013 What You See Isn't Always What You Get: An Evaluation of Color Differences Across Different Devices Craitishia Lewis Clemson University, [email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_theses Part of the Communication Commons Recommended Citation Lewis, Craitishia, "What You See Isn't Always What You Get: An Evaluation of Color Differences Across Different Devices" (2013). All Theses. 1808. https://tigerprints.clemson.edu/all_theses/1808 This Thesis is brought to you for free and open access by the Theses at TigerPrints. It has been accepted for inclusion in All Theses by an authorized administrator of TigerPrints. For more information, please contact [email protected]. What You See Isn’t Always What You Get: An Evaluation of Color Differences Across Different Devices A Thesis Presented to The Graduate School of Clemson University In Partial Fulfillment Of the Requirements for the Degree Master of Science Graphic Communications By Craitishia Lewis December 2013 Accepted by: Dr. Samuel Ingram, Committee Chair Kern Cox Dr. Eric Weisenmiller Dr. Russell Purvis ABSTRACT The objective of this thesis was to examine color differences between different digital devices such as, phones, tablets, and monitors. New technology has always been the catalyst for growth and change within the printing industry. With gadgets like the iPhone and the iPad becoming increasingly more popular in the recent years, printers have yet another technological advancement to consider. Soft proofing strategies use color management technology that allows the client to view their proof on a monitor as a duplication of how the finished product will appear on a printed piece of paper. -
Package 'Colorscience'
Package ‘colorscience’ October 29, 2019 Type Package Title Color Science Methods and Data Version 1.0.8 Encoding UTF-8 Date 2019-10-29 Maintainer Glenn Davis <[email protected]> Description Methods and data for color science - color conversions by observer, illuminant, and gamma. Color matching functions and chromaticity diagrams. Color indices, color differences, and spectral data conversion/analysis. License GPL (>= 3) Depends R (>= 2.10), Hmisc, pracma, sp Enhances png LazyData yes Author Jose Gama [aut], Glenn Davis [aut, cre] Repository CRAN NeedsCompilation no Date/Publication 2019-10-29 18:40:02 UTC R topics documented: ASTM.D1925.YellownessIndex . .5 ASTM.E313.Whiteness . .6 ASTM.E313.YellownessIndex . .7 Berger59.Whiteness . .7 BVR2XYZ . .8 cccie31 . .9 cccie64 . 10 CCT2XYZ . 11 CentralsISCCNBS . 11 CheckColorLookup . 12 1 2 R topics documented: ChromaticAdaptation . 13 chromaticity.diagram . 14 chromaticity.diagram.color . 14 CIE.Whiteness . 15 CIE1931xy2CIE1960uv . 16 CIE1931xy2CIE1976uv . 17 CIE1931XYZ2CIE1931xyz . 18 CIE1931XYZ2CIE1960uv . 19 CIE1931XYZ2CIE1976uv . 20 CIE1960UCS2CIE1964 . 21 CIE1960UCS2xy . 22 CIE1976chroma . 23 CIE1976hueangle . 23 CIE1976uv2CIE1931xy . 24 CIE1976uv2CIE1960uv . 25 CIE1976uvSaturation . 26 CIELabtoDIN99 . 27 CIEluminanceY2NCSblackness . 28 CIETint . 28 ciexyz31 . 29 ciexyz64 . 30 CMY2CMYK . 31 CMY2RGB . 32 CMYK2CMY . 32 ColorBlockFromMunsell . 33 compuphaseDifferenceRGB . 34 conversionIlluminance . 35 conversionLuminance . 36 createIsoTempLinesTable . 37 daylightcomponents . 38 deltaE1976 -
Photometric Modelling for Efficient Lighting and Display Technologies
Sinan G Sinan ENÇ PHOTOMETRIC MODELLING FOR PHOTOMETRIC MODELLING FOR EFFICIENT LIGHTING LIGHTING EFFICIENT FOR MODELLING PHOTOMETRIC EFFICIENT LIGHTING AND DISPLAY TECHNOLOGIES AND DISPLAY TECHNOLOGIES DISPLAY AND A MASTER’S THESIS By Sinan GENÇ December 2016 AGU 2016 ABDULLAH GÜL UNIVERSITY PHOTOMETRIC MODELLING FOR EFFICIENT LIGHTING AND DISPLAY TECHNOLOGIES A THESIS SUBMITTED TO THE DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING AND THE GRADUATE SCHOOL OF ENGINEERING AND SCIENCE OF ABDULLAH GÜL UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE By Sinan GENÇ December 2016 i SCIENTIFIC ETHICS COMPLIANCE I hereby declare that all information in this document has been obtained in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all materials and results that are not original to this work. Sinan GENÇ ii REGULATORY COMPLIANCE M.Sc. thesis titled “PHOTOMETRIC MODELLING FOR EFFICIENT LIGHTING AND DISPLAY TECHNOLOGIES” has been prepared in accordance with the Thesis Writing Guidelines of the Abdullah Gül University, Graduate School of Engineering & Science. Prepared By Advisor Sinan GENÇ Asst. Prof. Evren MUTLUGÜN Head of the Electrical and Computer Engineering Program Assoc. Prof. Vehbi Çağrı GÜNGÖR iii ACCEPTANCE AND APPROVAL M.Sc. thesis titled “PHOTOMETRIC MODELLING FOR EFFICIENT LIGHTING AND DISPLAY TECHNOLOGIES” and prepared by Sinan GENÇ has been accepted by the jury in the Electrical and Computer Engineering Graduate Program at Abdullah Gül University, Graduate School of Engineering & Science. 26/12/2016 (26/12/2016) JURY: Prof. Bülent YILMAZ :………………………………. Assoc. Prof. M. Serdar ÖNSES :……………………………… Asst. -
Análise Sensorial (Sensory Analysis) 29-02-2012 by Goreti Botelho 1
Análise Sensorial (Sensory analysis) 29-02-2012 INSTITUTO POLITÉCNICO DE COIMBRA INSTITUTO POLITÉCNICO DE COIMBRA ESCOLA SUPERIOR AGRÁRIA ESCOLA SUPERIOR AGRÁRIA LEAL LEAL Análise Sensorial Sensory analysis AULA T/P Nº 3 Lesson T/P Nº 3 SUMÁRIO: Summary Parte expositiva: Sistemas de medição de cor: diagrama de cromaticidade CIE, sistema de Theoretical part: Hunter e sistema de Munsell. Color Measurement Systems: CIE chromaticity diagram, Hunter system Parte prática: and Munsell system. Determinação de cores problema utilizando o diagrama de cromaticidade Practical part: CIE. Determination of a color problem by using the CIE chromaticity diagram. Utilização do colorímetro de refletância para determinação da cor de frutos. Use of the reflectance colorimeter to determine the color of fruits. Prova sensorial de dois sumos para compreensão da cor de um produto na Sensory taste of two juices to understand the color effect of a product in percepção sensorial. sensory perception. Goreti Botelho 1 Goreti Botelho 2 Why do we need devices to replace the human vision in the food industry? Limitações do olho humano • a) não é reprodutível – o mesmo alimento apresentado a vários provadores ou ao mesmo provador em momentos diferentes pode merecer qualificações diferentes. Este último fenómeno deve-se ao facto de que, em oposição à grande capacidade humana de apreciar diferenças, o homem não tem uma boa “memória da cor”, ou seja, é difícil recordar uma cor quando não a está a ver. • b) a nomenclatura é pouco concreta e até confusa. As expressões “verde muito claro” ou “amarelo intenso” não são suficientes para definir uma cor e muito menos para a reproduzir ou compará-la com outras quando não se dispõe do objecto que tem essa cor. -
AMSA Meat Color Measurement Guidelines
AMSA Meat Color Measurement Guidelines Revised December 2012 American Meat Science Association http://www.m eatscience.org AMSA Meat Color Measurement Guidelines Revised December 2012 American Meat Science Association 201 West Springfi eld Avenue, Suite 1202 Champaign, Illinois USA 61820 800-517-2672 [email protected] http://www.m eatscience.org iii CONTENTS Technical Writing Committee .................................................................................................................... v Preface ..............................................................................................................................................................vi Section I: Introduction ................................................................................................................................. 1 Section II: Myoglobin Chemistry ............................................................................................................... 3 A. Fundamental Myoglobin Chemistry ................................................................................................................ 3 B. Dynamics of Myoglobin Redox Form Interconversions ........................................................................... 3 C. Visual, Practical Meat Color Versus Actual Pigment Chemistry ........................................................... 5 D. Factors Affecting Meat Color ............................................................................................................................... 6 E. Muscle -
Using Deltae* to Determine Which Colors Are Compatible
Dissertations and Theses 5-29-2011 The Distance between Colors; Using DeltaE* to Determine Which Colors Are Compatible Rosandra N. Abeyta Embry-Riddle Aeronautical University - Daytona Beach Follow this and additional works at: https://commons.erau.edu/edt Part of the Other Psychology Commons Scholarly Commons Citation Abeyta, Rosandra N., "The Distance between Colors; Using DeltaE* to Determine Which Colors Are Compatible" (2011). Dissertations and Theses. 9. https://commons.erau.edu/edt/9 This Thesis - Open Access is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of Scholarly Commons. For more information, please contact [email protected]. Running Head: THE DISTANCE BETWEEN COLORS AND COMPATABILITY The distance between colors; using ∆E* to determine which colors are compatible. By Rosandra N. Abeyta A Thesis Submitted to the Department of Human Factors & Systems in Partial Fulfillment of the Requirements for the Degree of Master of Science in Human Factors & Systems Embry-Riddle Aeronautical University Daytona Beach, Florida May 29, 2011 Running Head: THE DISTANCE BETWEEN COLORS AND COMPATABILITY 2 Running Head: THE DISTANCE BETWEEN COLORS AND COMPATABILITY 3 Abstract The focus of this study was to identify colors that can be easily distinguished from one another by normal color vision and slightly deficient color vision observers, and then test those colors to determine the significance of color separation as an indicator of color discriminability for both types of participants. There were 14 color normal and 9 color deficient individuals whose level of color deficiency were determined using standard diagnostic tests. -
Digital Color Processing
Lecture 6 in Computerized Image Analysis Digital Color Processing Lecture 6 in Computerized Image Analysis Digital Color Processing Hamid Sarve [email protected] Reading instructions: Chapter 6 The slides 1 Lecture 6 in Computerized Image Analysis Digital Color Processing Electromagnetic Radiation Visible light (for humans) is electromagnetic radiation with wavelengths in the approximate interval of 380- 780 nm Gamma Xrays UV IR μWaves TV Radio 0.001 nm 10 nm 0.01 m VISIBLE LIGHT 400 nm 500 nm 600 nm 700 nm 2 2 Lecture 6 in Computerized Image Analysis Digital Color Processing Light Properties Illumination Achromatic light - “White” or uncolored light that contains all visual wavelengths in a “complete mix”. Chromatic light - Colored light. Monochromatic light - A single wavelength, e.g., a laser. Reflection No color that we “see” consists of only one wavelength The dominating wavelength reflected by an object decides the “color tone” or hue. If many wavelengths are reflected in equal amounts, an object appears gray. 3 3 Lecture 6 in Computerized Image Analysis Digital Color Processing The Human Eye Rods and Cones rods (stavar och tappar) only rods cone mostly cones only rods optical nerves 4 4 Lecture 6 in Computerized Image Analysis Digital Color Processing The Rods Approx. 100 million rod cells per eye Light-sensitive receptors Used for night-vision Not used for color-vision! Rods have a slower response time compared to cones, i.e. the frequency of its temporal sampling is lower 5 5 Lecture 6 in Computerized Image Analysis Digital Color -
CIE 1931 Color Space
CIE 1931 color space From Wikipedia, the free encyclopedia In the study of the perception of color, one of the first mathematically defined color spaces was the CIE 1931 XYZ color space, created by the International Commission on Illumination (CIE) in 1931. The CIE XYZ color space was derived from a series of experiments done in the late 1920s by W. David Wright and John Guild. Their experimental results were combined into the specification of the CIE RGB color space, from which the CIE XYZ color space was derived. Tristimulus values The human eye has photoreceptors (called cone cells) for medium- and high-brightness color vision, with sensitivity peaks in short (S, 420–440 nm), middle (M, 530–540 nm), and long (L, 560–580 nm) wavelengths (there is also the low-brightness monochromatic "night-vision" receptor, called rod cell, with peak sensitivity at 490-495 nm). Thus, in principle, three parameters describe a color sensation. The tristimulus values of a color are the amounts of three primary colors in a three-component additive color model needed to match that test color. The tristimulus values are most often given in the CIE 1931 color space, in which they are denoted X, Y, and Z. Any specific method for associating tristimulus values with each color is called a color space. CIE XYZ, one of many such spaces, is a commonly used standard, and serves as the basis from which many other color spaces are defined. The CIE standard observer In the CIE XYZ color space, the tristimulus values are not the S, M, and L responses of the human eye, but rather a set of tristimulus values called X, Y, and Z, which are roughly red, green and blue, respectively. -
Colour Pigments Artist Colour Pigments and Permanence Fortheartist
Colour Pigments Rockwood Pigments Product Portfolio Artist Ferroxide® Pigments High Purity Pigments Natural Earth Pigments Transparent Iron Oxide Coloured Inorganic Solaplex® Pigments Pigments Pigments Artist Colours Cadmium Pigments Wood Coatings Products Industrial Tinters Colourants for Rigid PVC Rockwood Pigments UK Ltd Rockwood Italia SpA Rockwood Pigments Brockhues GmbH & Co. KG Liverpool Road East, Kidsgrove, Stoke-on-Trent, ST7 3AA England Via G Reiss Romoli, 44/12, 10148 Torino, Italia Muehistrasse 118, 65396 Walluf, Germany Tel: +44 (0)1782 794400 Fax: +44 (0)1782 787338 Tel: +39 011 228 0501 Fax: +39 011 226 9275 Tel: +49 (0) 6123 797-0 Fax: +49 (0) 6123 72336 Rockwood Pigments UK Ltd Rockwood Pigments NA, Inc. Rockwood Pigments NA, Inc. Milner Road, Chilton Industrial Estate, 7101 Muirkirk Road, Beltsville, Maryland 20705, USA 3700 East Olympic Boulevard Sudbury, Suffolk, CO10 2XG, England Tel: +1 301 210 3400 Fax: +1 301 210 4967 Los Angeles, California 90023, USA Tel: +44 (0)1787 242400 Fax: +44 (0)1787 311149 Tel: +1 323 269 7311 Fax: +1 323 269 1053 Rockwood Pigments Asia Pacific Rockwood Pigments China Rockwood Pigments & Trading Pty Ltd 171 Chin Swee Road, #10-08 San Centre, 1106 Shanghai Kerry Center, 1515 Najing Road West, 21 David Street, Dandenong, Victoria, Australia 3175 Singapore 169877 Shanghai 200040, PR China Tel: +61 (0) 3 9212 3300 Fax: +61 (0) 3 9794 6300 Tel: +65 6532 0676 Fax: +65 6532 0502 Tel: +86 (21) 5298 6368 Fax: +86 (21) 5298 6370 www.rockwoodpigments.com ©2007 Rockwood Pigments FM 55142 Colour Pigments These colours represent a selection from our full range. -
Cadmium and Cadmium Compounds
Locating and Estimating Air Emissions From Sources of Cadmium and Cadmium Compounds U. S. Environmental Protection Agency Office of Air and Radiation Office of Air Quality Planning and Standards Locating and Estimating Air Emissions From Sources of Cadmium and Cadmium Compounds Prepared for: Anne Pope Office of Air Quality Planning and Standards Technical Support Division U. S. Environmental Protection Agency Research Triangle Park, N.C. 27711 Prepared by: Midwest Research Institute 401 Harrison Oaks Boulevard, Suite 350 Cary, North Carolina 27513 TABLE OF CONTENTS Section Page 1 PURPOSE OF DOCUMENT ..................1-1 REFERENCES ....................1-4 2 OVERVIEW OF DOCUMENT CONTENTS .............2-1 3 BACKGROUND.......................3-1 NATURE OF POLLUTANT ................3-1 OVERVIEW OF PRODUCTION, USE, AND EMISSIONS ....3-4 Production..................3-4 Use.....................3-6 Emissions ..................3-6 REFERENCES ................... 3-13 4 EMISSIONS FROM CADMIUM PRODUCTION ...........4-1 CADMIUM REFINING AND CADMIUM OXIDE PRODUCTION ...4-1 Process Description .............4-3 Emissions and Controls ............4-6 CADMIUM PIGMENTS PRODUCTION ........... 4-11 Process Description ............ 4-14 Emissions and Controls ........... 4-19 CADMIUM STABILIZERS PRODUCTION ......... 4-20 Process Description ............ 4-22 Emission and Controls ........... 4-24 OTHER CADMIUM COMPOUND PRODUCTION ........ 4-25 Process Descriptions ............ 4-25 Emissions and Controls ........... 4-29 REFERENCES ................... 4-32 5 -
The Impact of Luminous Properties of Red, Green, and Blue Mini-Leds on the Color Gamut
IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 66, NO. 5, MAY 2019 2263 The Impact of Luminous Properties of Red, Green, and Blue Mini-LEDs on the Color Gamut Weijie Guo , Nan Chen, Hao Lu, Changwen Su, Yue Lin , Guolong Chen, Yijun Lu , LiLi Zheng, Zhangbao Peng , Hao-Chung Kuo, Fellow, IEEE, Chih-Hao Lin, Tingzhu Wu , and Zhong Chen Abstract— Color gamut is of the paramount importance and virtual reality (VR) devices [2]. Nowadays, these two lead- in the display.Light–current–voltage(L–I–V ) characteristics ing display technologies are both pursuiting the high dynamic of red, green, and blue flip-chip mini-light-emitting diodes range (HDR) features [3]. Although the OLED display has (LEDs) (100 µm × 200 µm) are investigated at temperatures similar to the operational temperatures. Both the ideality been commercialized in portable devices, monitors, and tele- factor and the temperature dependence of external quantum visions [4], and begun attracting interest in flexible or foldable efficiency (EQE) suggest that the nonradiative loss in red devices, the LCD with mini-LED backlight is still among the mini-LED is higher. We also illustrate the intensive lateral most promising technologies for the next-generation flat dis- luminous intensity fluctuation for red mini-LED under the play due to the superiorities in low cost and mass production over-driving current by capturing the spatial emission map- ping. The influence of temperature and driving current on capabilities [3]–[5]. The mini-LED, with sizes ranging from the chromaticity coordinates of mini-LEDs is determined. 100 to 200 μm, serves as the light source in backlight of Furthermore, we propose a drive-current algorithm to maxi- LCD, showing the potential to replace the phosphor-converted mize the color gamut of the trichromatic mixed light at differ- white light LEDs (PC-LEDs) [6]. -
Product Catalog Product Catalog Product
KREMER /// PRODUCT CATALOG www.kremerpigments.com PRODUCT CATALOG Table of Contents Pigments 01 TABLE OF Dyes & Vegetable Color CONTENTS Paints 02 Fillers & Building Materials 03 Mediums, Binders & Glues 04 Solvents, Chemicals & Additives 05 Ready-made Colors & Gilding Materials 3 01 Pigments 06 31 02 Dyes & Vegetable Color Paints Linen, Paper 35 03 Fillers & Building Materials & Foils 41 04 Mediums, Binders & Glues 53 05 Solvents, Chemicals & Additives 07 56 06 Ready-made Colors & Gilding Brushes Materials 66 07 Linen, Paper & Foils 08 69 08 Brushes Tools, Packaging & 74 09 Tools, Packaging & Supplies Supplies 10 82 Books & Color Charts 09 85 11 General Information Books & Color Charts 10 General Information 11 For further information and prices please visit us at www.kremerpigments.com 1 Icon-Legend ICON-LEGEND The following Icons are used in the brochure: Hazardous Item Read the Material Safety Data sheet carefully – you can find all Disclaimer product sheets under www.kremerpigments.com and consult our safe handling procedures – see Chapter 11. Not for home use! To buy this product you have to be over 21 years old. Please send us a copy of your identity card . These products require a Hazardous Item Disclaimer. Please fill out the form on page 116 or at www. kremerpigments. com and submit with your order. Cautionary Products may contain hazardous substances. Label Read the ACMI cautionary label carefully and consult our safe handling procedures – see Chapter 11. For further product-specific information please visit us at www.kremerpigments.com. Approved Products bearing the AP Product Seal of ACMI are certified in a Product program of toxicological evaluation By a medical expert to con- tain no materials in suMcient quantities to be toxic or injurious to humans or cause acute or chronic health problems.